# data[].attributes.body
big data

# data[].attributes.body
4 v's of big data

# data[].attributes.body
range of strategies to capture all knowledge valuable to an organisation, deliver information in a way that can be actioned

# data[].attributes.body
demographics

# data[].attributes.body
clicks per season

# data[].attributes.body
Number of customers per booking

# data[].attributes.headline
what destinations get fewer bookings - buy less of them via block contracts

# data[].attributes.subject
what destinations get fewer bookings - buy less of them via block contracts

# data[].attributes.headline
things left in customers basket(?) / basket reminder to checkout

# data[].attributes.subject
things left in customers basket(?) / basket reminder to checkout

# data[].attributes.headline
split between single holidays and group holiday bookings

# data[].attributes.subject
split between single holidays and group holiday bookings

# data[].attributes.headline
fluctuations in demand depending on time of year etc

# data[].attributes.subject
fluctuations in demand depending on time of year etc

# data[].attributes.body
allocate resources appropriatley

# data[].attributes.body
clearer understanding of busy months - so will increase bookings during these months

# data[].attributes.headline
Offer discounts to price sensitive customers

# data[].attributes.subject
Offer discounts to price sensitive customers

# data[].attributes.headline
If certain destinations are popular for a certain demographic - ie singles holidays

# data[].attributes.subject
If certain destinations are popular for a certain demographic - ie singles holidays

# data[].attributes.headline
to set prices at off peak / non off peak. 

# data[].attributes.subject
to set prices at off peak / non off peak. 

# data[].attributes.headline
Understand overall %increase in bookings year on year for a general basic prediction

# data[].attributes.subject
Understand overall %increase in bookings year on year for a general basic prediction

# data[].attributes.body
if you can get analysis of popular destinations, it may indicate which destinations are of high demand and HD can use this to allocate resources and if there is excess demand plan to book additional flight and hotels

# data[].attributes.body
Decide how many hotels and flights to book. Size of rooms and location

# data[].attributes.headline
good for dymanic / rapid changing environments

# data[].attributes.subject
good for dymanic / rapid changing environments

# data[].attributes.body
loss of control

# data[].attributes.headline
Responsibility for market performance is clear

# data[].attributes.subject
Responsibility for market performance is clear

# data[].attributes.body
clear responsibility

# data[].attributes.headline
Better local knowledge due to local expertise

# data[].attributes.subject
Better local knowledge due to local expertise

# data[].attributes.body
There is clear responsbility and accountability or managers as they are in charge of their delegated products

# data[].attributes.headline
CEO - not promoting operational efficiency

# data[].attributes.subject
CEO - not promoting operational efficiency

# data[].attributes.headline
goals may not be congruent to overall business strategy

# data[].attributes.subject
goals may not be congruent to overall business strategy

# data[].attributes.body
Heavily dependent on ability of division managers

# data[].attributes.headline
bring European and worldwide divisions together

# data[].attributes.subject
bring European and worldwide divisions together